Early Bird Ends Thurs — Save $600

Enroll for $1,395 (normally $1,995)

Extended to Oct 23 at midnight ET due to popular demand.

90% filled. 2 additional spots remaining

Recent enrollments: PM Business Transformation (Healthcare, MA) • Executive Director (Manufacturing, Chicago) • Senior Associate (Consulting, FL)

Early Bird Ends October 16 - Save $600

LIVE

AGENTIC AI INTENSIVE

Get ahead with Agentic AI in 2.5 Weeks

With live guidance from Professors, Industry leaders, TAs and personalized AI tutoring. Earn a certificate and build your own Agentic AI workflow.

Live online Faculty sessions each Tuesday; optional Industry labs each Wednesday & Thursday; and 1:1 TA support

Your AI tutors work with your context at your pace, accelerating and deepening your learning

Redesign a high-value workflow** for agent-first operation using the AGENT Framework - creating an implementation-ready brief for your technical teams.

"Hands down, this is the best learning journey that I have ever been on. The Avatars, Podcast and other highly personalized curriculum is astonishing!"

Paul Michael Miles, Past Participant

Download the course outline

Course Dates

Nov 4-20, 2025

Live Faculty Sessions

Nov 4, 11, 18

Format

Live + AI-Guided

Duration

2.5 Weeks, Intensive

Investment

$1,395

$1,995
*early bird closes Oct 23

Certificate

Of Attendance from Harvard Data Science Initiative

Based on articles from Harvard Data Science Review. Trusted by leaders at Nike • KPMG • Accenture • T-Mobile • Lyft

The Agentic Leadership Gap

Three places where leaders are feeling the pressure of Agentic AI right now

In the Boardroom

You’re asked to guide Agentic AI investments and direction without a proven model - balancing opportunity, risk, and responsible judgment.

In Your Organization

Teams are deploying "agents", but clarity on structure, ethics, and accountability is lagging behind ambition.

In Your Industry

Competitors are working with AgentKit, Copilot Studio and Low Code tools. The gap between curiosity and capability is widening.

Traditional programs take months. AI personalization, live Faculty engagement and Live Industry Labs makes 2.5 weeks not just faster, but more effective for your specific context.

HDSR

Based on articles from Harvard Data Science Review, including Special Issue: "Future Shock: Grappling With the Generative AI Revolution". Created and led by HDSR Board Members.

"Coming from a non-technical background, I now feel empowered to pursue my dream with a clear and complete AI strategy finalized in just one week. This program gave me hope and confidence."

Marcial Hernandez Manzano
Non-technical background • Complete strategy in 1 week

What You're Actually Getting

Harvard Data Science Initiative

Earn a Certificate of Attendance

High-Value Agentic AI Workflow Design

Your agent-first workflow redesigned using the A.G.E.N.T Framework - ready to brief your technical teams for implementation.

Lasting Capability

Apply the A.G.E.N.T Framework to evaluate proposals, prioritize use cases, and design workflows across your organization - a replicable methodology, not a one-time output.

Why Leaders Choose This Intensive

Fast enough to matter

Three 90-min lives on Tuesdays fit your calendar. AI-guided work happens at your pace between sessions. Live Industry Labs + TA feedback gives you all the support you need.

Credible and applied

An Agentic AI workflow you built with HDSR authors, reviewed by TAs and peers, that you can talk about with confidence.

Your context from day one

AI tutor knows your context, your opportunities and challenges, your role. Apply HDSR frameworks directly to your actual work.

What Participants Say

Marcial Hernandez Manzano

Business Professional, Non-technical

"Coming from a non-technical background, I now have a complete AI strategy finalized in just one week. This program gave me confidence I didn't have before."

Speed to value

Craig Orgeron

Government Sector, Mississippi

"I came away with practical skills in using generative AI for analysis and communication, which I've already applied in my role. Immediately useful in a professional setting."

Applied immediately

Paul Michael Miles

Previous HDSR Intensive Participant

"Hands down, the best learning journey I have ever been on. The highly personalized curriculum is astonishing!"

AI personalization

Learn From Those Shaping Agentic AI Strategy

Live sessions with Harvard Data Science Review Board Members and Industry Leaders.

Prof. Xiao-Li Meng

Whipple V. N. Jones Professor of Statistics at Harvard University & Editor-in-Chief, Harvard Data Science Review

Statistician and former Harvard Dean of GSAS, Prof. Meng is well known for his depth and breadth in research, his innovation and passion in pedagogy, and his engaging and entertaining style as a speaker and writer.

Miguel Paredes

Partner, Kearney | AI Fund Fellow | Co-Editor, Harvard Data Science Review

Miguel Paredes is a Partner at Kearney and a Fellow at AI Fund, focusing on generative AI, data science, and value-creation strategy across industries. He serves as Co-Editor for the Industry Column at the Harvard Data Science Review and sits on the Board of the American Society for AI. Miguel holds a PhD in Applied AI and Data Science from MIT and completed the General Management Program at Harvard Business School

Ulla Kruhse-Lehtonen

Co-founder, CEO DAIN Studios Finland & Harvard Data Science Review Board Member

Ulla Kruhse-Lehtonen is a co-founder of DAIN Studios, a Finnish-German Data and AI consultancy. She executes data and AI strategies for many different companies. Before DAIN, Ulla headed up large data and AI departments in global companies such as Sanoma Media and Nokia.

Dirk Hofmann

Co-Founder, CEO DAIN Studios Germany & Harvard Data Science Review Board Member

Dirk Hofmann is a co-founder of a Finnish-German Data and AI consultancy. He has executed Data and AI strategies for many different companies and industries. Before DAIN, Dirk headed up global Data/AI and innovation initiatives at Siemens, Nokia and Deutsche Telekom.

Vinitra Swamy

CEO & Co-founder, Scholé AI

Vinitra Swamy is a human-centered AI researcher and CEO of Scholé AI, an edtech spinoff focused on AI for education. She holds a PhD in Computer Science from EPFL, where she was recognized as a Rising Star in Data Science and received multiple awards for her contributions to machine learning and education research.

Stephanie Dick

Assistant Professor, Simon Fraser University & Harvard Data Science Review Board Member

Historian of AI and computing, expert on AI's societal impacts and ethical development. Brings critical perspective on automated reasoning and the human side of AI transformation.

Common Questions

Ready to See the Full Program?

Download the course outline to see the week-by-week structure, deliverables you'll build, and how AI personalization works for your specific context.

Download the course outline to see the exact week-by-week plan and what you'll learn and apply each day with live Faculty, live Industry Labs & AI guidance